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Jake Ryland Williams
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2020 – today
- 2023
- [c8]Munif Ishad Mujib, Asta Zelenkauskaite, Jake Ryland Williams:
Which Tweets 'Deserve' to be Included in News Stories? Chronemics of Tweet Embedding. HICSS 2023: 5983-5993 - [i24]Jake Ryland Williams, Haoran Zhao:
Reducing the Need for Backpropagation and Discovering Better Optima With Explicit Optimizations of Neural Networks. CoRR abs/2311.07498 (2023) - [i23]Jake Ryland Williams, Haoran Zhao:
Explicit Foundation Model Optimization with Self-Attentive Feed-Forward Neural Units. CoRR abs/2311.07510 (2023) - [i22]Haoran Zhao, Jake Ryland Williams:
Bit Cipher - A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models. CoRR abs/2311.11012 (2023) - 2022
- [i21]Jake Ryland Williams, Hunter Scott Heidenreich:
To Know by the Company Words Keep and What Else Lies in the Vicinity. CoRR abs/2205.00148 (2022) - [i20]Hunter Scott Heidenreich, Jake Ryland Williams:
EigenNoise: A Contrastive Prior to Warm-Start Representations. CoRR abs/2205.04376 (2022) - [i19]Munif Ishad Mujib, Asta Zelenkauskaite, Jake Ryland Williams:
Which tweets 'deserve' to be included in news stories? Chronemics of tweet embedding. CoRR abs/2211.09185 (2022) - 2021
- [c7]Hunter Scott Heidenreich, Jake Ryland Williams:
The Earth Is Flat and the Sun Is Not a Star: The Susceptibility of GPT-2 to Universal Adversarial Triggers. AIES 2021: 566-573 - [i18]Lu Wang, Munif Ishad Mujib, Jake Ryland Williams, George Demiris, Jina Huh-Yoo:
An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers. CoRR abs/2107.13115 (2021) - 2020
- [c6]Diva Smriti, Ji Youn Shin, Munif Ishad Mujib, Meghan Colosimo, Tsui-Sui Kao, Jake Ryland Williams, Jina Huh-Yoo:
TAMICA: Tailorable Autonomous Motivational Interviewing Conversational Agent. PervasiveHealth 2020: 411-414 - [i17]Munif Ishad Mujib, Hunter Scott Heidenreich, Colin J. Murphy, Giovanni C. Santia, Asta Zelenkauskaite, Jake Ryland Williams:
NewsTweet: A Dataset of Social Media Embedding in Online Journalism. CoRR abs/2008.02870 (2020) - [i16]Hunter Scott Heidenreich, Munif Ishad Mujib, Jake Ryland Williams:
Investigating Coordinated 'Social' Targeting of High-Profile Twitter Accounts. CoRR abs/2008.02874 (2020) - [i15]Jake Ryland Williams, Diana Solano-Oropeza, Jacob R. Hunsberger:
A general solution to the preferential selection model. CoRR abs/2008.02885 (2020)
2010 – 2019
- 2019
- [c5]Giovanni C. Santia, Munif Ishad Mujib, Jake Ryland Williams:
Detecting Social Bots on Facebook in an Information Veracity Context. ICWSM 2019: 463-472 - 2018
- [c4]Munif Ishad Mujib, Christopher C. Yang, Mengnan Zhao, Jake Ryland Williams:
Expanding Consumer Health Vocabularies with Frequency-Conserving Internal Context Models. ICHI 2018: 241-246 - [c3]Giovanni C. Santia, Jake Ryland Williams:
BuzzFace: A News Veracity Dataset with Facebook User Commentary and Egos. ICWSM 2018: 531-540 - 2017
- [j2]Andrew J. Reagan, Christopher M. Danforth, Brian F. Tivnan, Jake Ryland Williams, Peter Sheridan Dodds:
Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs. EPJ Data Sci. 6(1): 28 (2017) - [c2]Jake Ryland Williams:
Boundary-based MWE segmentation with text partitioning. NUT@EMNLP 2017: 1-10 - [c1]Jake Ryland Williams, Giovanni C. Santia:
Context-Sensitive Recognition for Emerging and Rare Entities. NUT@EMNLP 2017: 172-176 - [i14]Jason Anastasopoulos, Jake Ryland Williams:
A Computational Framework for Multi-Modal Social Action Identification. CoRR abs/1710.07728 (2017) - [i13]Jake Ryland Williams, Giovanni C. Santia:
Is space a word, too? CoRR abs/1710.07729 (2017) - 2016
- [j1]Eric M. Clark, Jake Ryland Williams, Chris A. Jones, Richard A. Galbraith, Christopher M. Danforth, Peter Sheridan Dodds:
Sifting robotic from organic text: A natural language approach for detecting automation on Twitter. J. Comput. Sci. 16: 1-7 (2016) - [i12]Jake Ryland Williams, James P. Bagrow, Andrew J. Reagan, Sharon E. Alajajian, Christopher M. Danforth, Peter Sheridan Dodds:
Selection models of language production support informed text partitioning: an intuitive and practical, bag-of-phrases framework for text analysis. CoRR abs/1601.07969 (2016) - [i11]Jake Ryland Williams:
Boundary-based MWE segmentation with text partitioning. CoRR abs/1608.02025 (2016) - 2015
- [i10]Jake Ryland Williams, Eric M. Clark, James P. Bagrow, Christopher M. Danforth, Peter Sheridan Dodds:
Identifying missing dictionary entries with frequency-conserving context models. CoRR abs/1503.02120 (2015) - [i9]Eric M. Clark, Jake Ryland Williams, Richard A. Galbraith, Chris A. Jones, Christopher M. Danforth, Peter Sheridan Dodds:
Sifting Robotic from Organic Text: A Natural Language Approach for Detecting Automation on Twitter. CoRR abs/1505.04342 (2015) - [i8]Peter Sheridan Dodds, Eric M. Clark, Suma Desu, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell, Kameron Decker Harris, Isabel M. Kloumann, James P. Bagrow, Karine Megerdoomian, Matthew T. McMahon, Brian F. Tivnan, Christopher M. Danforth:
Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics. CoRR abs/1505.06750 (2015) - [i7]Sharon E. Alajajian, Jake Ryland Williams, Andrew J. Reagan, Stephen C. Alajajian, Morgan R. Frank, Lewis Mitchell, Jacob Lahne, Christopher M. Danforth, Peter Sheridan Dodds:
The Lexicocalorimeter: Gauging public health through caloric input and output on social media. CoRR abs/1507.05098 (2015) - [i6]Eric M. Clark, Chris A. Jones, Jake Ryland Williams, Allison N. Kurti, Michell Craig Nortotsky, Christopher M. Danforth, Peter Sheridan Dodds:
Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter. CoRR abs/1508.01843 (2015) - [i5]Andrew J. Reagan, Brian F. Tivnan, Jake Ryland Williams, Christopher M. Danforth, Peter Sheridan Dodds:
Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs. CoRR abs/1512.00531 (2015) - 2014
- [i4]Peter Sheridan Dodds, Eric M. Clark, Suma Desu, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell, Kameron Decker Harris, Isabel M. Kloumann, James P. Bagrow, Karine Megerdoomian, Matthew T. McMahon, Brian F. Tivnan, Christopher M. Danforth:
Human language reveals a universal positivity bias. CoRR abs/1406.3855 (2014) - [i3]Jake Ryland Williams, Paul R. Lessard, Suma Desu, Eric M. Clark, James P. Bagrow, Christopher M. Danforth, Peter Sheridan Dodds:
Zipf's law holds for phrases, not words. CoRR abs/1406.5181 (2014) - [i2]Jake Ryland Williams, James P. Bagrow, Christopher M. Danforth, Peter Sheridan Dodds:
Text mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural language. CoRR abs/1409.3870 (2014) - [i1]Morgan R. Frank, Jake Ryland Williams, Lewis Mitchell, James P. Bagrow, Peter Sheridan Dodds, Christopher M. Danforth:
Constructing a taxonomy of fine-grained human movement and activity motifs through social media. CoRR abs/1410.1393 (2014)
Coauthor Index
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